Ph3Senior AI Engineer – CRIF – Advanced Analytics Global /h3 pCRIF, a prestigious and innovative international group specialising in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a bSenior AI Engineer /b. The successful candidate will join our “Advanced Analytics Global” area, the centre of excellence at CRIF that combines expertise in Data Science, Data Engineering, and Generative AI. /p h3Profile /h3 ul liPhD or Master’s Degree in statistics, applied mathematics, computer science, quantitative economics, econometrics or a similar quantitative field. /li li3+ years of experience in Data Science / AI fields. /li liStrong problem‑solving skills and teamwork capabilities. /li liKnowledge of major trends and technologies in AI/GenAI. /li /ul h3Hard Skills /h3 ul liExcellent knowledge of Python and ML/DL libraries. /li liDeep understanding of the fundamentals of statistics and machine learning (sampling theory, inference and interpretation, model validation, regression and classification techniques, etc.). /li liDeep understanding of LLM post‑training stages (e.g. SFT, RL, distillation) and evaluation methods. /li liDeep understanding of embedding models (e.g. bi‑encoder/cross‑encoder) and their finetuning. /li liExperience with agent protocols (e.g. MCP, A2A, ACP) and agentic design patterns. /li liExperience with synthetic data generation approaches for the evaluation of AI Systems. /li liFamiliarity with vector databases (e.g., Pinecone, Qdrant, …) and integration with AI systems, for example RAG. /li liExperience working with one of the major cloud providers (AWS, GCP, Azure). /li liKnowledge of MLOps and microservices architectures. /li /ul h3Nice to have /h3 ul liKnowledge of AI security and safety risks, and effective mitigation strategies. /li liExperience with one of the major agent frameworks (e.g., AutoGen, CrewAI, smolagents, .) /li liContributions in Open Source projects related to AI. /li liResearch and publications in the AI field. /li /ul h3Location /h3 pBologna or Milan. /p h3Senior DevOps Engineer – Prometeia /h3 pPrometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. Among the European leaders in Wealth Management solutions, Prometeia is looking for an experienced Senior Cloud Engineer to lead the development, deployment, and management of Kubernetes‑based applications. /p h3ROLE /h3 pAs Senior DevOps Engineer will be responsible for CI/CD pipelines, with high focus on quality, security, and build/deployment processes (build tools, Docker, Kubernetes), plus optional Cloud/IaC expertise. /p h3RESPONSIBILITIES /h3 ul liCI/CD Automation – Top Priority: Design, build, and maintain CI/CD pipelines using GitHub Actions and Azure DevOps; automate build, test, quality, and security checks; manage artifact creation and distribution (Nexus, npm, NuGet); ensure pipeline scalability, reliability, and security. /li liQuality, Build Security – High Priority: Integrate SonarQube, Checkmarx, OWASP into pipelines; apply DevSecOps practices across build and release processes; build and maintain Docker images via Dockerfiles, manage CVEs, and ensure regular rebuilds for security compliance; deploy applications via Helm Charts on Kubernetes; troubleshoot Kubernetes deployments and workloads; support Dev and Ops teams in container orchestration. /li liMonitoring Reliability: Implement Prometheus, Grafana, ELK/EFK for observability and alerting; monitor applications and infrastructure health; mentor junior engineers and promote DevOps best practices; collaborate with Development, QA, Security, and Ops teams; drive continuous improvement in delivery workflows. /li /ul h3QUALIFICATIONS REQUIRED /h3 ul liBachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience. /li li3+ years in DevOps, CI/CD, or Cloud Engineering roles. /li liExperience with Git, GitHub, GitFlow version control. /li liHands‑on experience with build tools, Docker (including CVE management rebuild), Kubernetes deployments. /li liFamiliarity with quality security tools (SonarQube, Checkmarx, OWASP). /li /ul h3Preferred / Nice‑to‑Have /h3 ul liProduction‑level coding in Python or C#. /li liRelevant certifications (ISTQB, DevOps‑related). /li /ul h3SOFT SKILLS /h3 ul liProblem‑solving mindset and proactive approach. /li liStrong teamwork and cross‑functional collaboration. /li liClear communication and technical documentation skills. /li liFocus on quality, security, and continuous improvement. /li liAdaptability to emerging technologies. /li liGood knowledge of the English language. /li /ul h3LOCATION /h3 pBologna. /p h3Senior Hardware Designer – LuxExperience /h3 pLuxExperience is a premier digital, multi‑brand luxury group and the ultimate online shopping destination for global luxury enthusiasts. With a portfolio that includes renowned brands such as Mytheresa, NET‑A‑PORTER, and MR PORTER, LuxExperience offers carefully curated luxury products across women’s wear, men’s wear, kids’ wear, fine jewelry, watches, and lifestyle categories. Additionally YOOX and THE OUTNET are key players in the off‑season luxury shopping segment. /p h3WHAT YOU WILL DO /h3 ul liDesign, develop, and maintain ETL/ELT pipelines using Databricks (Python, SQL, PySpark). /li liManage data ingestion and transformation from multiple sources within the AWS ecosystem (S3, Glue, Lambda, etc.). /li liBuild and maintain Tabular Cubes (SSAS/ Power BI datasets) to support efficient data modeling and analysis. /li liCollaborate with Product Owners and analysts to translate business requirements into scalable data models and dashboards. /li liContribute to version control and collaborative development using Bitbucket (Git). /li liMonitor and optimise data workflows, ensuring reliability, scalability, and compliance with BI best practices. /li liSupport end‑to‑end delivery — from data extraction to visualisation — within an Agile environment (2‑week sprints, sprint planning, iterations, and reviews). /li /ul h3WHO YOU ARE /h3 ul liDegree in Computer Science, Engineering, or related field. /li liProven experience as a Data Engineer or BI Developer in cloud‑based data environments. /li liStrong hands‑on experience with Databricks, SQL, Python, and PySpark. /li liExperience with AWS data services (S3, Glue, Athena, Lambda). /li liProficiency in data modelling, (DAX, performance tuning). /li liExperience building Tabular Cubes (Analysis Services or Power BI semantic models). /li liFamiliarity with Git/Bitbucket for version control and CI/CD integration. /li liStrong analytical and problem‑solving mindset, with attention to detail. /li liExcellent communication and teamwork skills, with fluency in English. /li /ul h3WHAT WE OFFER /h3 ul liUp to 37 days of holiday (including ROL and festività abolite), depending on the length of service, starting with 33 days. /li liLanguage e‑learning courses. /li liStaff discount of up to 30%. /li liTicket restaurant. /li liAccess to LinkedIn Learning. /li liDiscounted membership for selected sports platforms gyms. /li liIndividual support on mental health well‑being. /li /ul h3EQUITY OF EQUALITY /h3 pWe promote and respect equal opportunities and consider differences as a value. Diversity Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities. /p /p #J-18808-Ljbffr